Citation:

s12898-016-0108-6

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Abstract:

Background: Conifer populations appear disproportionately threatened by global change. Most examples are, however, drawn from the northern hemisphere and long-term rates of population decline are not well documented as historical data are often lacking. We use a large and long-term (1931-2013) repeat photography dataset together with environmental data and fire records to account for the decline of the critically endangered Widdringtonia cedarbergensis. Eighty-seven historical and repeat photo-pairs were analysed to establish 20th century changes in W. cedarbergensis demography. A generalized linear mixed-effects model was fitted to determine the relative importance of environmental factors and fire-return interval on mortality for the species.

Results: From an initial total of 1313 live trees in historical photographs, 74% had died and only 44 (3.4%) had recruited in the repeat photographs, leaving 387 live individuals. Juveniles (mature adults) had decreased (increased) from 27% (73%) to 8% (92%) over the intervening period. Our model demonstrates that mortality is related to greater fire frequency, higher temperatures, lower elevations, less rocky habitats and aspect (i.e. east-facing slopes had the least mortality).

Conclusions: Our results show that W. cedarbergensis populations have declined significantly over the recorded period, with a pronounced decline in the last 30 years. Individuals that established in open habitats at lower, hotter elevations and experienced a greater fire frequency appear to be more vulnerable to mortality than individuals growing within protected, rocky environments at higher, cooler locations with less frequent fires. Climate models predict increasing temperatures for our study area (and likely increases in wildfires). If these predictions are realised, further declines in the species can be expected. Urgent management interventions, including seedling out-planting in fire-protected high elevation sites, reducing fire frequency in higher elevation populations, and assisted migration, should be considered.

Coverage:

Median Latitude: -32.305427 * Median Longitude: 19.101896 * South-bound Latitude: -32.437389 * West-bound Longitude: 19.060393 * North-bound Latitude: -32.211215 * East-bound Longitude: 19.213508

Minimum ELEVATION: 947 m a.s.l. * Maximum ELEVATION: 1426 m a.s.l.

Event(s):

Cederberg * Latitude: -32.300000 * Longitude: 19.100000 * Elevation: 1209.0 m * Location: South Africa

Comment:

Only natural stands (i.e. not Heuningvlei) were used in the analysis to determine environmental and climatic correlates of W. cedarbergensis mortality. This model exhibited significant positive spatial autocorrelation for spatial lags up to about 5 km (measured using spatial correlograms from the 'ncf' package in R). To account for spatial autocorrelation we included a spatial autocovariate using an exponential correlation structure with latitude and longitude coordinates. The GLMM used to determine correlates of mortality included mortality as the binary response variable, habitat, aspect, mean annual temperature (°C) and fire frequency as fixed effects and region and photograph site as random effects with a binomial family link.

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Comment
1	Site	Site		White, Joseph Douglas Mandla
2	Number	No		White, Joseph Douglas Mandla	tree
3	Habitat	Habitat		White, Joseph Douglas Mandla
4	ELEVATION	Elevation	m a.s.l.	White, Joseph Douglas Mandla	Geocode
5	Aspect	Aspect		White, Joseph Douglas Mandla
6	LATITUDE	Latitude		White, Joseph Douglas Mandla	Geocode
7	LONGITUDE	Longitude		White, Joseph Douglas Mandla	Geocode
8	Mortality	Mortality		White, Joseph Douglas Mandla	1 = a mortality event; 0 = a tree remains alive
9	Temperature, air, annual mean	MAAT	°C	White, Joseph Douglas Mandla
10	Precipitation, annual total	Precip annual total	mm/a	White, Joseph Douglas Mandla
11	Area/locality	Area		White, Joseph Douglas Mandla
12	Fire frequency	Fire	#	White, Joseph Douglas Mandla	Number of fires recorded for each specific GPS location (i.e. tree) over the recorded period between 1944-2012

License:

Creative Commons Attribution 3.0 Unported (CC-BY-3.0)

Size:

11817 data points

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